Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo gra...
Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful live birth prediction: a retrospective monocentric study
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Publisher
England: BioMed Central Ltd
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Language
English
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England: BioMed Central Ltd
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The introduction of the time-lapse monitoring system (TMS) and the development of predictive algorithms could contribute to the optimal embryos selection for transfer. Therefore, the present study aims at investigating the efficiency of KIDScore and iDAScore systems for blastocyst stage embryos in predicting live birth events.
The present retros...
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Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful live birth prediction: a retrospective monocentric study
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TN_cdi_doaj_primary_oai_doaj_org_article_c202dddc24954d4a9aa14557a15e486c
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c202dddc24954d4a9aa14557a15e486c
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ISSN
1477-7827
E-ISSN
1477-7827
DOI
10.1186/s12958-024-01198-7
